About Us

At 4AG Robotics, we’re wired for solving tough problems - and mushroom harvesting with robots is about as tough as it gets. We solve the critical labour shortage for farms by building robots that pick, trim and pack mushrooms. 

We are a team of builders that like to move fast and embrace the uncertain process of innovation - because every breakthrough comes with a few mistakes along the way.

 
If you love tech, thrive on innovation, and have a passion for building and bringing it to life in the real world in a commercial space, you’ll find your spot here. Join us and help reshape the future of farming with grit, brains, and a team that actually gets things done. 

The Opportunity
Join 4AG Robotics as an AI Co-op student and help bring our farm-proven robotics products to life. This is a unique chance to work alongside a collaborative engineering team on real-world applications of computer vision and AI in agriculture. You’ll contribute to projects that directly impact our robot operations, farm monitoring systems, and the future of automation in mushroom farming. You’ll get hands-on experience working with the robot, including running and testing it in real-world environments, and may have opportunities to visit customer farm sites to support testing and learn how our technology operates in the field. role is perfect for students eager to grow their technical skills while contributing to innovative products in a fast-paced environment.

What You'll Do

• Collaborate with engineers, designers, and project managers to develop software solutions for our robotics products.
• Assist with image collection, processing, and dataset creation, including data annotation, masks, labels, and augmentation, to train robust computer vision models.
• Collect, organize, clean, and manage image datasets used for computer vision and machine learning, including quality checks and dataset preparation.
• Build and enhance software applications, from web-based robot diagnostic tools to customer-facing farm monitoring dashboards.
• Apply computer vision models and learn to deploy ensemble techniques for improved model performance.
• Support the full software stack, including front-end and back-end interactions, and contribute to overall user experience design.
• Support field testing and, when required, travel to customer sites to help test and validate robotics and AI systems in real-world farm environments.
• Work with engineers to investigate issues, analyze results, and turn testing and data into actionable improvements.

What Success Looks Like

• High-quality, reliable datasets created and maintained for computer vision tasks.
• Accurate and consistent image annotations support the development and evaluation of computer vision models.
• Software features and tools that improve the functionality and usability of our robotics systems.
• Clear collaboration with team members, contributing ideas and solutions that help the team meet project goals.
• Growth in technical skills, including Python, C++, and machine learning model deployment.
• Confidence in applying and iterating on computer vision models, learning best practices for real-world AI applications.

What You Bring

• Currently pursuing a degree in Computer Science, Computer Engineering, or a related field.
• Creative, product-focused thinking with an eye for how software interacts with electromechanical systems.
• Familiarity with Python, C++, Keras, image annotation tools, and basic computer vision theory.
• Experience with Unix/Linux environments, particularly Ubuntu, and exposure to NVIDIA frameworks is a plus.
• Strong problem-solving skills, adaptability, and the ability to collaborate in a fast-paced team environment.
• Strong communication and collaboration skills in a fast-paced engineering environment.
• Willingness to occasionally travel to customer sites and work in a farm environment.

Technical Skills You'll Use and Grow

• Python and C++ programming for software development and model deployment.
• Machine learning and computer vision techniques, including model training, sliding windows, augmentation, learning rate tuning, and early stopping.
• Dataset creation and management, including image collection, annotation, quality control, dataset balancing, and augmentation.
• Robot testing and validation, including running the robot, collecting test data, troubleshooting issues, and evaluating performance.
• Linux/Ubuntu environments and NVIDIA tools for AI development.
• Web development for dashboards and robot diagnostics, with exposure to front-end and back-end integration.
• Working with real-world data and understanding how model performance can change between controlled testing environments and customer farms. 

Why This Role Matters

At 4AG Robotics, we’re redefining what’s possible in agriculture through robotics, computer vision, and AI. The work you do will directly contribute to building reliable, efficient systems that make mushroom harvesting safer and more sustainable. As a co-op student, you won’t just be working with simulated data or theoretical problems. You’ll see your work connected to a real robot, test it in the real world, and learn how AI and robotics perform in a working mushroom farm environment.

• Competitive pay: We value our people. We offer competitive compensation, and depending on your experience, this position has a monthly salary range of $4,333 to $5,373 per month. 
• Work-life balance: Flexible environment focused on results, not timesheets.
• Time to recharge: Paid vacation and statutory holidays.
• Growth mindset: Ongoing learning and development encouraged year-round.
• Hands-on experience: Work directly with robotics, computer vision, AI, and real-world agricultural data.
• Field exposure: Opportunities to support testing at customer sites and see how our technology operates in real farm environments.
• Relocation support: Financial assistance available for students moving to Salmon Arm, BC, for the term.

What We Believe

If you’re the type who likes to take chances, move at speed, and see your ideas come to life, you’ll feel right at home here. At 4AG, we’re not big on rules for the sake of rules - we’d rather trust you to make bold calls, keep it real with your team, and turn imagination into something game-changing. This isn’t a place to play it safe; it’s a place to build, break, fix, and build again - while having a great time doing it.